Distance

Distance Sampling Detection Function and Abundance Estimation

A simple way of fitting detection functions to distance sampling
data for both line and point transects. Adjustment term selection, left and
right truncation as well as monotonicity constraints and binning are
supported. Abundance and density estimates can also be calculated (via a
Horvitz-Thompson-like estimator) if survey area information is provided.

Distance -- A very simple interface to mrds.

News

Distance version 0.9.6

Coefficients are called coefficients (not a mixture of coefficients and parameters) in summary() results

Added gof_ds() for easy access to goodness of fit testing and q-q plotting

Checking of truncation distance was checking via is.double rather than is.numeric. Thanks to Tiago Marques for spotting this!

Functions AIC() and logLik() now exist for quick extraction of AIC and log-likelihood values. Thanks to Tiago Marques for this suggestion.

Added amakihi (point transect) data

add extra documentation for objects in obs.table, thanks to Olivier Devineau for spotting this

Distance version 0.9.5

Truncation by percentage now works when there are missing distances (i.e. when we are using flatfile). Thanks to Len Thomas for pointing out this bug.

Check that areas are consistently entered. This was problematic when areas were not entered identically for each region, but unique was used to extract the region table. Thanks to Katy Echave for finding this bug!

Monotonicity constraints were not applied during automated model selection. Thanks to Tiago Marques for spotting this.

AIC selection of adjustment terms goes up to 5 terms by default, as in DISTANCE. Thanks to Eric Rexstad for suggesting this.

Distance version 0.9.3

Updated tests to work with new unique object ID code.

Liberally sprinkled tests with suppressMessages()

Distance version 0.9.2

Now warning when columns are correctly named but not in the correct case. Thanks to Richard Borthwick for reporting this bug.

Now checks that object IDs are unique. Thanks to Ricardo Lima & Francisco Azevedo for highlighting this issue.

Distance version 0.9.1

Models with both covariates and adjustment terms can actually be specified -- this was not fully implemented in previous version.

ds() now tells the user the models which is returned (rather than previously fitted model)

links to mrds documentation on optimisation issues

Distance version 0.9

Flat file support example, see ?flatfile

New data set: simulated minke whale data, see ?minke and ?flatfile for an example analysis

Models with both covariates and adjustment terms can be specified.

Default left truncation is now 0, default right truncation is now the largest observed distance or furthest bin end.

Distance version 0.8.1

another fix to binning (redundant code/inconsistent definition between docs and code). (Thanks to Jason Roberts for finding this.)

binning would fail if there were NA distances, which might occur when using the simplified data tables

check implemented to ensure that samples have consistent (i.e. the same) effort (Eric Rexstad found this bug)

clarification that stratification only occurs at the abundance/density estimation stage (dht), rather than at the detection function modelling stage (thanks to Filipe Dias for this suggestion)

Setting order=0 is equivalent to adjustment=NULL to specify a detection function without adjustments. (Eric Rexstad brought this to my attention.)

Distance version 0.8.0

new simplified table data format (see ?ds)

bug in binning from cutpoints (thanks to Colin Beale for finding this)

removed percentage truncation for binned data, as it doesn't really make sense

Distance version 0.7.4

new initial values argument

Distance version 0.7.3

remove annoying crash when mrds failed to fit a model

NB the optimiser underlying mrds (optimx) has changed, update both of these
packages to avoid issues.

Distance version 0.7.2

message tells the user the model that was selected

Distance version 0.7.1

debugging options

bug fixes (see github for further details)

automatic generation of adjustments did not generate any for poly/herm.